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Transmission Risks of Schistosomiasis Japonica: Extraction from Back-propagation Artificial Neural Network and Logistic Regression Model

机译：日本血吸虫病的传播风险：反向传播人工神经网络提取和逻辑回归模型

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摘要

BackgroundThe transmission of schistosomiasis japonica in a local setting is still poorly understood in the lake regions of the People's Republic of China (P. R. China), and its transmission patterns are closely related to human, social and economic factors.

机译：背景技术在中国湖泊地区，日本血吸虫病在当地的传播情况仍知之甚少，其传播方式与人，社会和经济因素密切相关。

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期刊名称 PLoS Neglected Tropical Diseases
作者
Jun-Fang Xu; Jing Xu; Shi-Zhu Li; Tia-Wu Jia; Xi-Bao Huang; Hua-Ming Zhang; Mei Chen; Guo-Jing Yang; Shu-Jing Gao; Qing-Yun Wang; Xiao-Nong Zhou;
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年(卷),期 2013(7),3
年度 2013
页码 e2123
总页数 11
原文格式 PDF
正文语种
中图分类寄生动物、寄生虫学;医学寄生虫学;
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专利

1. Transmission Risks of Schistosomiasis Japonica: Extraction from Back-propagation Artificial Neural Network and Logistic Regression Model [J] . Jun-Fang Xu, Jing Xu, Shi-Zhu Li, PLOS Neglected Tropical Diseases . 2013,第3期

机译：日本血吸虫病的传播风险：反向传播人工神经网络提取和逻辑回归模型
2. A critical appraisal of logistic regression-based nomograms, artificial neural networks, classification and regression-tree models, look-up tables and risk-group stratification models for prostate cancer. [J] . Chun FK, Karakiewicz PI, Briganti A, BJU international . 2007,第4期

机译：对基于Logistic回归的列线图，人工神经网络，分类和回归树模型，查找表和前列腺癌风险组分层模型的重要评估。
3. The Hybrid Logistics Regression-Artificial Neural Network and Multivariate Adaptive Regression Splines-Artificial Neural Network Modeling Schemes for Heart Disease Classification [J] . Yuehjen E. Shao, Chia-Ding Hou, Ya-Chi Chan, Advanced Science Letters . 2013,第11期

机译：心脏病分类的混合后勤回归-人工神经网络和多元自适应回归样条-人工神经网络建模方案
4. A comparison of RoHS risk assessment using the Logistic Regression Model and Artificial Neural Network Model [C] . Chang Cheng-Chang, Gong Dah-Chuan Proceedings of the Ninth International Conference on Machine Learning and Cybernetics . 2010

机译：使用Logistic回归模型和人工神经网络模型进行RoHS风险评估的比较
5. An application of Artificial Neural Networks to forecast winning price: A comparison of Back-Propagation Networks and Adaptive Network-Based Fuzzy Inference Systems. [D] . Lin, Yingchih. 2010

机译：人工神经网络在中奖价格预测中的应用：反向传播网络与基于自适应网络的模糊推理系统的比较。
6. Modeling mortality in the intensive care unit: comparing the performance of a back-propagation associative-learning neural network with multivariate logistic regression. [O] . G. S. Doig, K. J. Inman, W. J. Sibbald, 1993

机译：重症监护病房的死亡率建模：将反向传播联想学习神经网络与多元逻辑回归的性能进行比较。
7. Transmission risks of schistosomiasis japonica: extraction from back-propagation artificial neural network and logistic regression model. [O] . Jun-Fang Xu, Jing Xu, Shi-Zhu Li, 2013

机译：日本血吸虫病传播风险：反向传播人工神经网络提取和Logistic回归模型。
8. Modeling Small Unmanned Aerial System Mishaps Using Logistic Regression and Artificial Neural Networks. [R] . Wolf, S. E. 2012

机译：利用Logistic回归和人工神经网络建模小型无人机系统事故。

Transmission Risks of Schistosomiasis Japonica: Extraction from Back-propagation Artificial Neural Network and Logistic Regression Model

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